Here we have enlisted the experimental results with detailed discussion on the obtained results. The obtained accuracies for disjoint training and test samples are shown in Tables REF , REF , REF  and REF  and Figures REF , REF  REF , and REF . All the results shown in the Tables and Figures are obtained using the 10-cross-validation process to compute the overall, average and kappa \((\kappa )\)  accuracy for comparison purposes. For instance, let us assume the case of Pavia University results, for this particular case, the work [1]} has the highest average, overall and kappa \((\kappa )\)  accuracies which are 95.51%, 93.95%, and 93.95% respectively in comparison with the average, overall and kappa \((\kappa )\)  accuracies for other comparative works; 92.55%, 89.94%, 89.9% for [2]}, 89.43%, 86.25%, 85.61% for [3]}, 89.09%, 89.5%, 85.5% for [4]}, 82.05%, 87.43%, 76.89% for [5]}, 80.38%, 83.63%, 74.76% for [6]}, 80.38%, 84.06%, 74.32% for [7]}, 77.8%, 86.12%, 72.06% for [8]}, 77.07%, 83.83%, 70.84% for [9]}, and 72.23%, 82.12%, 65.44% for [10]}. Similar observations can be made of the other experimental datasets.
